Translating sustainable and smart city strategies into performance measurement systems

This paper shows how sustainable and smart strategies can be implemented in cities and how these strategies influence, and are influenced by, performance measurement systems. Drawing upon the Foucauldian notion of governmentality, the authors present the case of Gothenburg in Sweden, where they interviewed the key actors involved in a new sustainability strategy. Translating strategy into performance measurement systems requires collaboration across organizational boundaries and considerations of financial goals and social and human aspects.     

An integrated algorithm for three-way compositional data

Quality & Quantity - Compositional data with a tridimensional structure are not uncommon in social sciences. The CANDECOMP/PARAFAC model is one of the most adequate techniques for modeling...     

Competition in a Dynamic Auction Market: Identification,Structural Estimation,and Market Efficiency

The model incorporates an infinite series of auctions for identical items (or close substitutes) ordered over time and bidders with unit demand. The participants of each auction are drawn from a dynamic pool, with losing bidders remaining in the pool of potential bidders. The number of bidders in each auction is unobservable. Risk‐neutral, forward‐looking bidders submit bids below valuation. A novel identification and estimation strategy is used to estimate the valuation distribution from an order statistic of the bids. The model is used to evaluate the efficiency of online auctions for a 60GB Apple iPod Video, compared to a perfect‐competition benchmark.     

The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

Good Cop–Bad Cop: Trust,Control, and the Lure of Integration

Based on a longitudinal case study of four interorganizational product development collaborations, this paper identifies a lure to cross‐functional integration that has hereto been neglected. In particular, findings suggest that when the buyer firm separates the Research and Development (R&D) Department from the Procurement Department, the two departments play a good cop–bad cop strategy toward the supplier. Thereby, they are able to foster a high level of goodwill trust between R&D personnel of the collaborating firms, while procurement personnel maintain a high level of formal control. Using an intricate sample design with polar cases, the study shows that cross‐functional integration of the two departments hampers interorganizational goodwill trust at the benefit of formal control. The findings offer a way forward for managers seeking to reap the benefits of collaboration, while limiting their exposure to the associated risks.     

Firm Characteristics and NPD Program Success: The Significant Influence of Global Discovery Management

Managing new product development (NPD) with a global point of view is argued to be essential in current business more than ever. Accordingly, many firms are trying to revitalize their NPD processes to make them more global. Therefore, examining global NPD management is one of the top priorities for research. While scholars have examined global launch management, there has been scant attention on the direct effect of global discovery management on NPD success. Therefore, this study investigates how a globally managed discovery phase enhances a firm's overall NPD success. Drawing upon the resource‐based view (RBV) and using Kotabe's ( 1990 ) generic model for market success in global competition as the overarching framework, this study examines four drivers of NPD success: global discovery management, the firm's “global footprint,” its inbound knowledge sourcing practices (i.e., “open innovation proclivity”), and nationality of the teams (i.e., “cross‐national global NPD team use”). The hypotheses are tested using a sample of 255 business units from multiple industries, headquartered worldwide, and surveyed during the 2012 PDMA Comparative Performance Assessment Study (CPAS). The PLM‐SEM analyses show that, of the four drivers examined, only global discovery management strongly influences a firm's NPD program success. The findings enhance our understanding of the particularities in global NPD. Based on the study's results, suggestions are provided as to how multinationals can leverage their international operations in the course of their front‐end activities.     

How young firms achieve growth: reconciling the roles of growth motivation and innovative activities

This special issue focuses on entrepreneurship, innovation and enterprise dynamics, as these key components of any prospering economy are at the heart of the current policy discussion. It gathers the latest national and comparative cross-country evidence about: new business venture formation and the role of framework conditions in fostering entrepreneurial activities; the determinants and outcomes of firms’ innovative activities and, more generally, of business and innovation dynamics; and the determinants and patterns of post-entry firm growth performance. The contributions synthesised in this introductory piece all rely on sound micro-level data and robust econometrics and propose novel findings that are relevant for policy making. Among them, that risk aversion encourages individuals to invest in balanced skill profiles, making them more likely to become entrepreneurs; and that while micro firms may grow when they are young, they are less likely to do so when old.     

A Tutorial on Palm Distributions for Spatial Point Processes

This tutorial provides an introduction to Palm distributions for spatial point processes. Initially, in the context of finite point processes, we give an explicit definition of Palm distributions in terms of their density functions. Then we review Palm distributions in the general case. Finally, we discuss some examples of Palm distributions for specific models and some applications.     

Pure meat – Public perceptions of risk reduction strategies in meat production

Experience has shown that both the assessment and implementation of new technologies in food production are challenged by negative assessments of the technologies by the public. This article seeks to deepen our understanding of the concerns that may underlie negative attitudes to various kinds of risk reduction strategy in meat production, with the aim of distinguishing between forms of risk reduction in terms of their acceptability. The paper reports the result of a focus-group study. Six focus groups with Danish citizens (N: 5–9) were conducted during May 2006. The design of the groups took a bottom-up approach and included elements of meat quality, meat safety and risk reduction strategies. The study shows the dilemma risk reduction presents to members of the public. On the one hand, people want safe meat; on the other, the study showed that with the exception of hygiene practices, people generally have an aversion to risk reduction strategies. Some variation was found, however, in the rejection of the strategies. Thus, more acceptable strategies are characterised by a low degree of technological interference, and by being close to the consumer’s experience in everyday life and/or familiar to the participants’ picture of meat production. It is also important that the strategy does not alter the quality of the end-product (meat) in an unfavourable way. The implications of the results and the inherent dilemma for meat safety policy formation are discussed.     

Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects,catch‐up and convergence*

This paper investigates whether climatic adjusted total factor productivity (CATFP) in Latin America and the Caribbean (LAC) is converging, converging to different steady states or exhibit absolute convergence, that is the process does not require (government) interventions to reach its equilibrium path. We use data from the University of East Anglia’s Climatic Research Unit and from the Food and Agriculture Organization for 28 LAC countries over a 54‐year period (1961–2014) to estimate random parameters stochastic production frontier models to calculate CATFP and then use cross‐sectional regressions and an error correction model to analyse CATFP convergence across countries in the region. The results show that technological progress is the main driver of CATFP growth in the region and there is no absolute convergence, that is CATFP gaps across countries will not decrease over time and least performing countries will not grow faster than better performing ones without targeted policies. However, CATFP across LAC exhibits conditional convergence towards different steady states. Technological progress plays a critical role in raising the steady state level of CATFP with an overall average of 2.22 per cent per annum.